Opportunities for HIV PrEP engagement using interconnected social and molecular network data through the characterization of high-risk Neisseria gonorrhoeae clusters

通过高风险淋病奈瑟菌群的特征分析，利用相互关联的社会和分子网络数据进行艾滋病毒接触预防的机会

• 批准号: 10611506
• 负责人: Britt Skaathun
• 金额: $ 19.75万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-04-19 至 2025-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10611506
• 关键词: AIDS prevention; Adherence; Age; Area; Behavioral; California; Characteristics; Chlamydia; Clinic; Clinical; Clinical Data; Collection; Communities; County; Data; Data Sources; Diagnosis; Disease; Eligibility Determination; Epidemiology; Frequencies; Future; Genetic; Goals; HIV; HIV Infections; HIV Seronegativity; HIV Seropositivity; Individual; Infection; Infectious Agent; Interdisciplinary Study; Intervention; Link; Metadata; Methodology; Methods; Molecular; Names; Neisseria gonorrhoeae; Organism; Participant; Patients; Persons; Populations at Risk; Prevention; Prevention strategy; Prophylactic treatment; Public Health; Research; Research Personnel; Research Priority; Resolution; Resources; Risk; Risk Assessment; Sampling; Services; Sexual Health; Sexual Transmission; Sexually Transmitted Diseases; Social Network; Strategic Planning; Structure; Syphilis Serodiagnosis; Technology; Test Result; Testing; United States National Institutes of Health; Universities; Work; candidate identification; epidemic response; epidemiology study; genome sequencing; genomic data; high risk; improved; innovation; insight; men who have sex with men; novel; pre-exposure prophylaxis; prevent; preventive intervention; programs; public health intervention; social; social contact; social structure; tool; transmission process; whole genome

Project Summary/Abstract Sexual and social networks impact the spread of HIV and STIs and can be used as a tool for public health prevention efforts. The impact of HIV prevention strategies, such as PrEP, and prevention interventions for STIs depend on the characteristics of these sexual and social networks. Within sexual and social networks, people are linked by their sexual or social ties to form clusters. Genomic data from infectious organisms can be used to construct transmission networks which, in the case of sexually transmitted organisms, can provide information about the sexual network. Neisseria gonorrhoeae (NG) infection is one of the most common STIs in the world, and a potential driver of HIV acquisition. NG transmission may represent a more recent contact than the HIV transmission network. NG sequence data have been successfully used to study transmission and can be used to reveal insights into sexual networks. In Aim 1, we will characterize NG transmission networks using whole genome sequencing data from the bacterial isolates which will be merged with detailed patient metadata and social network data from a sample of participants accessing STI testing at the largest San Diego Public Health clinic. We will construct combined social and transmission networks using named social contacts and NG genetic distances and collection dates of NG isolates. We will then assess bridging of HIV positive and HIV negative groups in the social-molecular network to evaluate HIV transmission risk. In Aim 2, we will identify correlates of being in a cluster with at least one person living with HIV and will assess risk of HIV acquisition to identify candidates for PrEP. By combining connections from each network to create a more complete picture of contact, we can identify those who may be at risk for both STIs and HIV. These results will provide evidence for public health researchers and practitioners on how best to prioritize HIV PrEP and other services. The proposed study will be carried out as an extension of work that the PI conducted as part of a K01 project at the University of California San Diego, which aimed to combine HIV transmission network data and NG transmission network data. That project was conducted in a different clinical setting as the present proposal, however the methodology developed and piloted through that project provides a basis for the current proposal, which now also includes social networks. The present proposed study will be the first to simultaneously examine NG transmission networks combined with social networks. The results from this study will contribute to improved strategies to curb the spread of HIV and STIs.

项目概要/摘要 性和社交网络影响艾滋病毒和性传播感染的传播，可用作公共卫生工具 预防工作。 HIV 预防策略（例如 PrEP）和预防干预措施的影响 性传播感染取决于这些性网络和社交网络的特征。在性和社交网络中， 人们通过性或社会关系联系在一起，形成群体。来自传染性生物体的基因组数据可以 用于构建传播网络，就性传播生物而言，可以提供 有关性网络的信息。淋病奈瑟菌 (NG) 感染是最常见的性传播感染之一 在世界范围内，也是艾滋病毒感染的潜在驱动因素。 NG 传输可能代表最近的接触 比艾滋病毒传播网络更重要。 NG序列数据已成功用于研究传输和 可用于揭示对性网络的洞察。 在目标 1 中，我们将使用来自 NG 的全基因组测序数据来表征 NG 传播网络。 细菌分离株将与来自样本的详细患者元数据和社交网络数据合并 参与者在圣地亚哥最大的公共卫生诊所接受性传播感染检测。我们将构建组合 使用命名社交联系和 NG 遗传距离和收集日期的社交和传播网络 NG 分离株。然后，我们将评估艾滋病毒阳性和艾滋病毒阴性群体在社会分子中的桥梁。 评估艾滋病毒传播风险的网络。在目标 2 中，我们将识别集群中至少具有以下特征的相关性： 一名艾滋病毒感染者，将评估感染艾滋病毒的风险，以确定 PrEP 候选人。通过结合 每个网络的连接以创建更完整的联系图片，我们可以识别那些可能 面临性传播感染和艾滋病毒的风险。这些结果将为公共卫生研究人员和 从业人员如何最好地优先考虑艾滋病毒暴露和其他服务。 拟议的研究将作为 PI 作为 K01 项目一部分进行的工作的延伸进行 加州大学圣地亚哥分校，旨在将 HIV 传播网络数据与 NG 结合起来 传输网络数据。该项目是在与当前提案不同的临床环境中进行的， 然而，通过该项目开发和试点的方法为当前提案提供了基础， 现在还包括社交网络。目前提出的研究将是第一个同时 检查 NG 传输网络与社交网络的结合。这项研究的结果将有助于 改进遏制艾滋病毒和性传播感染传播的策略。